EY

Data Engineers

Remote, United States remote Entry $0 - $0
remote Technology & IT Salary listed Curated
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About the role

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY Malta supports leading organisations, including financial services clients, in delivering large-scale data transformation programmes.

As a Data Engineer, you will play a key role in designing, building and optimizing robust and scalable data pipelines and modern cloud-based data platforms. These platforms will enable trusted, high-quality data across the organization, for reporting, analytics and operational decision-making.

You will work as part of a multidisciplinary team spanning data engineering, architecture, data governance and business domains to contribute to complex, high-impact engagements across regulated and data-intensive environments.

Key Responsibilities

Design, build and maintain scalable data pipelines
Ensure data quality, governance and auditability
Work with stakeholders to deliver data-driven solutions
Optimise data flows and ETL processes
Support cloud-based data platform development

Skills And Attributes

Bachelor’s and/or master’s degree in computer science, engineering, mathematics, or another relevant subject
3+ years of experience in data engineering, data platforms or ETL development
Strong proficiency in SQL and relational databases
Experience with ETL tools and data pipeline development
Experience with Python or another scripting language
Knowledge of data modelling and data warehousing concepts
Experience with cloud platforms such as Microsoft Fabric and Azure Databricks
Familiarity with data governance, data quality and lineage concepts
Ability to work with structured and unstructured data across modern and legacy platforms
Strong problem-solving and communication skills

Certifications (optional)

Microsoft certifications on Data Engineering / Fabric
Databricks certification
Snowflake certification

What We Offer

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Are you ready to shape your future with confidence? Apply today.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis MySQL Python Sales SQL remote

Likely questions

  1. Tell us about work you have done that is close to the Data Engineers role.
  2. How would you approach your first 30 days at EY?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineers role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes EY needs from this hire.

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